Book Image

Hands-On Artificial Intelligence for Beginners

By : Patrick D. Smith, David Dindi
Book Image

Hands-On Artificial Intelligence for Beginners

By: Patrick D. Smith, David Dindi

Overview of this book

Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications.
Table of Contents (15 chapters)

Deep Learning for Intelligent Agents

Intelligent Assistants are one of the most visible forms of Artificial Intelligence (AI) that we see in our daily lives. Siri, Alexa, and other systems have come to be commonplace in day-to-day life in the 21st century. This chapter will commence our section of chapters that dive deeply into the application of Artificial Neural Networks (ANNs) for creating AI systems. In this chapter, we will cover one new topic, word embeddings, and then proceed to focus on the application of Recurrent Neural Networks (RNNs) and generative networks to natural language processing tasks. While an entire book could have been written about deep learning for natural language processing, as is already the case, we'll touch upon the core concepts that you'll need to get started in building natural language AI platforms.

We will be covering the following...